Model and Data Engineering: 14th International Conference, MEDI 2025, Cairo, Egypt, November 2-4, 2025, Proceedings

Author:   Ahmed Awad ,  Carlos Ordonez ,  Ahmed Hassan ,  Ladjel Bellatreche
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032198648


Pages:   404
Publication Date:   17 May 2026
Format:   Paperback
Availability:   In Print   Availability explained
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Model and Data Engineering: 14th International Conference, MEDI 2025, Cairo, Egypt, November 2-4, 2025, Proceedings


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Author:   Ahmed Awad ,  Carlos Ordonez ,  Ahmed Hassan ,  Ladjel Bellatreche
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032198648


ISBN 10:   303219864
Pages:   404
Publication Date:   17 May 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

.- Assessing the Impact of Meteorological and Infrastructure Factors on Internet Performance Using Machine Learning. .- Non-Intrusive Fall Detection Using Pose Estimation and Polynomial Temporal Modeling. .- Towards an Integrated Metaheuristic Approach for Workplace Performance Op timization. .- Efficient Algorithms for Spatio-Textual Similarity Join using In-Memory IR-trees. .- Managing Model Evolution from NoSQL Data Lakes to Decision Support Sys tem. .- Out-Of-Distribution Generalization for Knee Calcium Deposition under X-Ray Manufacturer’s Domain Shifts. .- Face Generation from Arabic Text using GAN-CLS and AraBERT. .- Large Language Models as Universal Predictors? An Empirical Study on Small Tabular Datasets. .- Exploring the Landscape of Generative Adversarial Networks: A Comprehensive Survey of Variants and Applications. .- Comparative Analysis of Zero-Shot Testing on Different LLMs for Automated Grading Systems for Business Education. .- From Sound to Success: An AI Framework for Predicting Music Popularity and Sentiment Analysis. .- Scattering Transformer: A Training-Free Transformer Architecture for Heart Murmur Detection. .- Speeding up SQL Subqueries via decoupling of non-correlated predicate. .- Advanced Crime-Mobility Relationship Modeling: A Multi-Task Learning Ap proach for Urban Safety Prediction.  .- Semantic-Driven Multimodal Learning Framework for Lymphoma Diagnosis. .- MARCADE: A Framework for Architecting Resilient and Intelligent Cloud Native Application. .- Multi Objective Analysis of Urban Food Insecurity and Hunger. .- Enhancing Long-Text Summarization through Hybrid Extractive-Abstractive Methods with LLaMA and Qwen. .- A Mixed-Methods Framework for Analyzing Travel Reviews with LLMs and MAXQDA: A Case Study in Osaka. .- A Stacked Hybrid Ensemble of Swin-V2 and MViT-V2 for High-Performance Skin Disease Classification. .- Codecard: Leveraging LLMs to Evaluate AI Model Code Development with the System Card Framework. .- A Hybrid Deep Learning and Ontology-Based Framework for Contextual Hy peractivity Detection in Children with ADHD. .- Adapting Deep Learning Models for Image-Level Multi-Class Dental Pathology Identification in OPG X-Rays. .- A Semantic Web Approach to Boost Engagement and Collaboration Among Online Health Communities. .- Specification-Driven Application Skeleton Generation Using a Multi-Agent Sys tem. .- Leveraging Counting Data from Camera Videos to Improve Transport Demand Modeling in African Cities. .- Next Generation Cloud-Native In-Memory Stores: From Redis to Valkey and Beyond. .- Job Recommendation using Heterogeneous Graph Convolutional Networks and LDA Model. .- Real-Time Lesion-Level Acne Detection Using YOLOv8n: A Lightweight Deep Learning Approach. .- Empirical Performance Comparison of Traditional Machine Learning and Large Language Models on Classification Tasks: A Study of Structured Sensor Data and Text Classification. .- Federated Deep Learning for Intrusion Detection Achieving Centralized-Level Accuracy with Privacy. .- Machine Learning and Deep Learning Approaches for Mobile Malware Detection: A Survey.

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